Use Cases
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Customer service operations must evolve to meet an increasingly demanding environment, where users expect immediacy, 24/7 availability, and seamless experiences across multiple channels.
At the same time, the growing volume of interactions puts pressure on support teams, making it difficult to maintain quality, consistency and efficiency in responses.
To implement an intelligent service model capable of automating high-volume inquiries, improving customer experience and optimizing operational efficiency without losing personalization or context in interactions.
Customer service operations must evolve to meet an increasingly demanding environment, where users expect immediacy, 24/7 availability, and seamless experiences across multiple channels.
At the same time, the growing volume of interactions puts pressure on support teams, making it difficult to maintain quality, consistency and efficiency in responses.
To implement an intelligent service model capable of automating high-volume inquiries, improving customer experience and optimizing operational efficiency without losing personalization or context in interactions.
+40%
First Contact Resolution (FCR)
-25%
Global AHT in handled inquiries
100%
traceable and auditable actions
-35%
Operational costs
Alan Charli and Alan X are conversational agents for voice and text, designed to operate in complex customer service environments.
They function as intelligent layers capable of understanding, reasoning, and autonomously resolving inquiries across both digital and voice channels, without human intervention.
Alan Charli and Alan X are conversational agents for voice and text, designed to operate in complex customer service environments.
They function as intelligent layers capable of understanding, reasoning, and autonomously resolving inquiries across both digital and voice channels, without human intervention.
Interpret user intent in natural language
Cross-check and verify information across multiple systems
Execute end-to-end resolution of complex inquiries
Maintain full traceability of every interaction
Quality analysis and business intelligence reports.
Real-time assistance for human agents.
Continuous training and performance improvement for human agents and the system.
Metahuman assistant for query resolution.
Cognitive support for complex case resolution and decision-making.
End-to-end support across digital channels.
Voice-based support with autonomous reasoning and full query resolution.